Online distributed price-based control of DR resources with competitive guarantees

Siyuan Xu; Liren Yu; Xiaojun Lin; Jin Dong; Yaosuo Xue

doi:10.1145/3538637.3538836

Online distributed price-based control of DR resources with competitive guarantees

Siyuan Xu, Liren Yu, Xiaojun Lin, Jin Dong, Yaosuo Xue

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.

Original language	English
Title of host publication	e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems
Publisher	Association for Computing Machinery, Inc
Pages	17-33
Number of pages	17
ISBN (Electronic)	9781450393973
DOIs	https://doi.org/10.1145/3538637.3538836
State	Published - Jun 28 2022
Event	13th ACM International Conference on Future Energy Systems, e-Energy 2022 - Virtual, Online, United States Duration: Jun 28 2022 → Jul 1 2022

Publication series

Name	e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems

Conference

Conference	13th ACM International Conference on Future Energy Systems, e-Energy 2022
Country/Territory	United States
City	Virtual, Online
Period	06/28/22 → 07/1/22

Funding

This work has been partially supported by U.S. Department of Energy, Office of Electricity, with grant DE-OE0000921 and under contract DE-AC05-00OR22725, and by NSF through grant ECCS-2129631.

Keywords

Competitive online algorithm
Demand response
Peak demand
Price-based control

Access to Document

10.1145/3538637.3538836

Cite this

Xu, S., Yu, L., Lin, X., Dong, J., & Xue, Y. (2022). Online distributed price-based control of DR resources with competitive guarantees. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems (pp. 17-33). (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3538637.3538836

Xu, Siyuan ; Yu, Liren ; Lin, Xiaojun et al. / Online distributed price-based control of DR resources with competitive guarantees. e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery, Inc, 2022. pp. 17-33 (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems).

@inproceedings{6d995f8aa5374011a23a0f69a6ebe4a5,

title = "Online distributed price-based control of DR resources with competitive guarantees",

abstract = "Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.",

keywords = "Competitive online algorithm, Demand response, Peak demand, Price-based control",

author = "Siyuan Xu and Liren Yu and Xiaojun Lin and Jin Dong and Yaosuo Xue",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 13th ACM International Conference on Future Energy Systems, e-Energy 2022 ; Conference date: 28-06-2022 Through 01-07-2022",

year = "2022",

month = jun,

day = "28",

doi = "10.1145/3538637.3538836",

language = "English",

series = "e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "17--33",

booktitle = "e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems",

}

Xu, S, Yu, L, Lin, X, Dong, J & Xue, Y 2022, Online distributed price-based control of DR resources with competitive guarantees. in e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems, Association for Computing Machinery, Inc, pp. 17-33, 13th ACM International Conference on Future Energy Systems, e-Energy 2022, Virtual, Online, United States, 06/28/22. https://doi.org/10.1145/3538637.3538836

Online distributed price-based control of DR resources with competitive guarantees. / Xu, Siyuan; Yu, Liren; Lin, Xiaojun et al.
e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery, Inc, 2022. p. 17-33 (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Online distributed price-based control of DR resources with competitive guarantees

AU - Xu, Siyuan

AU - Yu, Liren

AU - Lin, Xiaojun

AU - Dong, Jin

AU - Xue, Yaosuo

PY - 2022/6/28

Y1 - 2022/6/28

N2 - Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.

AB - Demand response (DR) of building HVAC load can provide crucial demand-side flexibility for the future smart grid. Compared to direct load control, price-based control can respect the customers' autonomy and privacy. However, it is challenging for price-based control to attain provable performance guarantees under future uncertainty. In this paper, we propose a framework for a utility to perform price-based control of flexible building load within the utility's service area, in order to attain competitive performance guarantees in terms of controlling the system peak demand under future uncertainty. By adopting a two-step approach, our online price-based control solution can attain a provable competitive ratio for all possible realizations within a given uncertainty set. Simulation experiments demonstrate that, with a robustification procedure, our solution can perform well not only for worst-case inputs, but also for average-case inputs.

KW - Competitive online algorithm

KW - Demand response

KW - Peak demand

KW - Price-based control

UR - http://www.scopus.com/inward/record.url?scp=85133948961&partnerID=8YFLogxK

U2 - 10.1145/3538637.3538836

DO - 10.1145/3538637.3538836

M3 - Conference contribution

AN - SCOPUS:85133948961

T3 - e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems

SP - 17

EP - 33

BT - e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems

PB - Association for Computing Machinery, Inc

T2 - 13th ACM International Conference on Future Energy Systems, e-Energy 2022

Y2 - 28 June 2022 through 1 July 2022

ER -

Xu S, Yu L, Lin X, Dong J , Xue Y. Online distributed price-based control of DR resources with competitive guarantees. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems. Association for Computing Machinery, Inc. 2022. p. 17-33. (e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems). doi: 10.1145/3538637.3538836

Online distributed price-based control of DR resources with competitive guarantees

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this